Sample programs for Cloud Computing course at UT Austin

Full-stack microservices deployment for Google Kubernetes Engine and Amazon Elastic Container Service

Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline

MLOps Implementing "Brain Computer Interface" on Kubernetes

In this tutorial we explain how to get real time analytics of energy produced and consumed from two solar stations simulators using influxDB together with grafana hosted on the kubernetes engine of google

An E-Commerce web application developed using Django REST API for Backend and React using Material UI framework for the Frontend

Deploying Machine Learning service in Google Kubernetes Engine (GKE) & Istio (Service Mesh).

A minimal template using KRM to deploy a FastAPI app.

Repository of the classify patient microservice implementation for the covid 19 patient classification application

A discord bot to notify the new courses from Courspora

Example of github-action that automatically deploy flask server to Google Kubernetes Engine

Scalable RAG with GKE, LlamaIndex and Qdrant

Explore microservices CI/CD on GKE, mastering containerization, Kubernetes orchestration using Docker, GCP tools (Source Repository, Cloud Build, GKE), and Terraform. This repository serves as a hands-on resource for learning RESTful APIs, navigating GKE clusters with persistent volumes, offering practical insights for modern deployment.

Airport security system simulation based on microservices, utilizing Object Detection via Google Vision API to detect suspicious human faces detected on security footage. The microservices are (Docker-) containerized RESTful services which are able to communicate with each other over HTTP requests within an internal network.

An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.

Weather prediction model serving with rayserve and fastapi (for a cloud computing uni course - RSO).

Developing Django Apps Using Cloud Code with Google Kubernetes Engine (GKE)

I have created 2 microservices, containerized them using docker and deployed them on Kubernetes cluster (GKE), using CI/CD and registry for containers. The Infrastructer as Code (IaC) approach is used for creating a k8s cluster.